Cargando…

An ensemble machine learning approach to predict postoperative mortality in older patients undergoing emergency surgery

BACKGROUND: Prediction of preoperative frailty risk in the emergency setting is a challenging issue because preoperative evaluation cannot be done sufficiently. In a previous study, the preoperative frailty risk prediction model used only diagnostic and operation codes for emergency surgery and foun...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lee, Sang-Wook, Lee, Eun-Ho, Choi, In-Cheol
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155414/ https://www.ncbi.nlm.nih.gov/pubmed/37131138 http://dx.doi.org/10.1186/s12877-023-03969-0

Ejemplares similares

Multi-center validation of machine learning model for preoperative prediction of postoperative mortality
por: Lee, Seung Wook, et al.
Publicado: (2022)

Explainable machine learning using perioperative serial laboratory results to predict postoperative mortality in patients with peritonitis-induced sepsis
por: Lim, Seung Hee, et al.
Publicado: (2023)

Sex differences in myocardial injury after non-cardiac surgery and postoperative mortality
por: Kwon, Ji-Hye, et al.
Publicado: (2023)

Effect of magnesium supplementation on emergence delirium and postoperative pain in children undergoing strabismus surgery: a prospective randomised controlled study
por: Lee, Ji-Hyun, et al.
Publicado: (2020)

Machine learning-based prediction model for postoperative delirium in non-cardiac surgery
por: Lee, Dong Yun, et al.
Publicado: (2023)

Ensemble Machine Learning: Methods and Applications
por: Zhang, Cha, et al.
Publicado: (2012)

Does the COVID-19 Screening Test Affect the Postoperative Prognosis of Patients Who Undergo Emergency Surgery for Cerebral Hemorrhage?
por: Lee, Chang Ho, et al.
Publicado: (2022)

Age-dependent relationship between preoperative serum aminotransferase and mortality after cardiovascular surgery
por: Nam, Jae-Sik, et al.
Publicado: (2019)

Development of postoperative delirium prediction models in patients undergoing cardiovascular surgery using machine learning algorithms
por: Nagata, Chie, et al.
Publicado: (2023)

Ensemble machine learning classification of daily living abilities among older people with HIV
por: Paul, Robert, et al.
Publicado: (2021)

Survival curve identifies critical period for postoperative mortality in cardiac patients undergoing emergency general surgery
por: Martines, Diego Ramos, et al.
Publicado: (2020)

Development of Machine-Learning Model to Predict COVID-19 Mortality: Application of Ensemble Model and Regarding Feature Impacts
por: Baik, Seung-Min, et al.
Publicado: (2022)

Ensemble machine learning cookbook: over 35 practical recipes to explore ensemble machine learning techniques using Python
por: Sarkar, Dipayan, et al.
Publicado: (2019)

Prediction model for postoperative atrial fibrillation in non-cardiac surgery using machine learning
por: Oh, Ah Ran, et al.
Publicado: (2023)

Postoperative statin treatment may be associated with improved mortality in patients with myocardial injury after noncardiac surgery
por: Park, Jungchan, et al.
Publicado: (2020)

Forecasting Corn Yield With Machine Learning Ensembles
por: Shahhosseini, Mohsen, et al.
Publicado: (2020)

The effects of midazolam administered postoperatively on emergence agitation in pediatric strabismus surgery
por: Bae, Jin Ho, et al.
Publicado: (2010)

Stacking ensemble learning model to predict 6-month mortality in ischemic stroke patients
por: Hwangbo, Lee, et al.
Publicado: (2022)

Predictors of Postoperative Delirium in Older Patients Undergoing Elective Spine Surgery
por: Kimura, Atsushi, et al.
Publicado: (2022)

Prediction of tau accumulation in prodromal Alzheimer’s disease using an ensemble machine learning approach
por: Kim, Jaeho, et al.
Publicado: (2021)

A Comparison of Three Methods for Postoperative Pain Control in Patients Undergoing Arthroscopic Shoulder Surgery
por: Park, Sun Kyung, et al.
Publicado: (2015)

Machine learning-based prediction of postoperative mortality in emergency colorectal surgery: A retrospective, multicenter cohort study using Tokushukai medical database
por: Akabane, Shota, et al.
Publicado: (2023)

Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy
por: Kang, Min Woo, et al.
Publicado: (2020)

Comparison of Machine Learning Models Including Preoperative, Intraoperative, and Postoperative Data and Mortality After Cardiac Surgery
por: Castela Forte, José, et al.
Publicado: (2022)

The prophylactic effect of dexamethasone on postoperative sore throat in prone position surgery
por: Lee, Sang Ho, et al.
Publicado: (2016)

Hands-on ensemble learning with Python: build highly optimized ensemble machine learning models using scikit-learn and Keras
por: Kyriakides, George, et al.
Publicado: (2019)

Machine learning‐based prediction of 1‐year mortality in hypertensive patients undergoing coronary revascularization surgery
por: Behnoush, Amir Hossein, et al.
Publicado: (2023)

Machine Learning Generation of Dynamic Protein Conformational Ensembles
por: Zheng, Li-E, et al.
Publicado: (2023)

Clinical Implications of Preoperative Nonvalvular Atrial Fibrillation with Respect to Postoperative Cardiovascular Outcomes in Patients Undergoing Non-Cardiac Surgery
por: Cho, Min Soo, et al.
Publicado: (2019)

Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score
Publicado: (2021)

Machine Learning Approach Using Routine Immediate Postoperative Laboratory Values for Predicting Postoperative Mortality
por: Cho, Jaehyeong, et al.
Publicado: (2021)

Predictive Modeling and Integrated Risk Assessment of Postoperative Mortality and Pneumonia in Traumatic Brain Injury Patients through Clustering and Machine Learning: Retrospective Study
por: Kim, Jong-Ho, et al.
Publicado: (2023)

Improved patient mortality predictions in emergency departments with deep learning data-synthesis and ensemble models
por: Son, Byounghoon, et al.
Publicado: (2023)

Machine Learning Ensemble Directed Engineering of Genetically Encoded Fluorescent Calcium Indicators
por: Wait, Sarah J., et al.
Publicado: (2023)

Author Correction: Stacking ensemble learning model to predict 6-month mortality in ischemic stroke patients
por: Hwangbo, Lee, et al.
Publicado: (2022)

Predictive value of total psoas muscle index for postoperative physical functional decline in older patients undergoing emergency abdominal surgery
por: Yamaguchi, Keishi, et al.
Publicado: (2023)

Hands-on ensemble learning with R: a beginner's guide to combining the power of machine learning algorithms using ensemble techniques
por: Tattar, Prabhanjan
Publicado: (2018)

Risk factor analysis of postoperative complications in patients undergoing emergency abdominal surgery
por: Sun, Menghan, et al.
Publicado: (2023)

The effects of perioperative intravenous fluid administration strategy on renal outcomes in patients undergoing cardiovascular surgery: An observational study
por: Lee, Eun-Ho, et al.
Publicado: (2019)

Osteoporosis Pre-Screening Using Ensemble Machine Learning in Postmenopausal Korean Women
por: Kwon, Youngihn, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_iqle7l7jbe94qpkksa02npjvbf